Chenguang Shi
Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System
Shi, Chenguang; Wang, Fei; Sellathurai, Mathini; Zhou, Jianjiang; Salous, Sana
Authors
Fei Wang
Mathini Sellathurai
Jianjiang Zhou
Professor Sana Salous sana.salous@durham.ac.uk
Professor
Abstract
This paper investigates the problem of low probability of intercept-based optimal power allocation (LPI-OPA) for an integrated multistatic radar and communication system, which consists of multiple transmitters operating at different frequencies, a radar receiver, and a communication receiver (CR). The integrated multistatic radar and communication system is capable of fulfilling the requirements of both radar and communication subsystems. The key tenet of the integrated system is to minimize the total power consumption by optimizing the transmit power allocation at each transmitter for radar waveforms and information signals, which is constrained by a predetermined target detection performance for the RR and a desired information rate for the CR. Since the analytical closed-form expression of the probability of detection is not tractable, its upper bound is derived. We analytically show that the resulting optimization problem can be reformulated as two subproblems, which can be solved by an efficient solution procedure based on the approach of linear programming and the Karush–Kuhn–Tuckers optimality conditions. Simulation results are provided to show that the LPI performance of the integrated multistatic radar and communication system can significantly be enhanced by employing our proposed LPI-OPA scheme.
Citation
Shi, C., Wang, F., Sellathurai, M., Zhou, J., & Salous, S. (2020). Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System. IEEE Systems Journal, 14(1), 983-994. https://doi.org/10.1109/jsyst.2019.2931754
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 25, 2019 |
Online Publication Date | Aug 9, 2019 |
Publication Date | Mar 31, 2020 |
Deposit Date | Mar 25, 2020 |
Publicly Available Date | Mar 25, 2020 |
Journal | IEEE Systems Journal |
Print ISSN | 1932-8184 |
Electronic ISSN | 1937-9234 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 1 |
Pages | 983-994 |
DOI | https://doi.org/10.1109/jsyst.2019.2931754 |
Public URL | https://durham-repository.worktribe.com/output/1274604 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/.
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